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The evolution of phenotypic plasticity when environments fluctuate in time and space
Jessica G King1, Jarrod D Hadfield1
1Institute of Evolutionary Biology, School of Biological Sciences University of Edinburgh Edinburgh EH9 3JT United Kingdom.
Genetic adaptation to environmental fluctuations in time and space depends on parent-offspring environmental correlations. Plasticity evolves to counter fluctuations in one dimension, potentially becoming maladaptive in another.
Area of Science:
- Evolutionary biology
- Theoretical ecology
- Quantitative genetics
Background:
- Most studies examine environmental variation in time OR space, not concurrently.
- Understanding concurrent temporal and spatial environmental variation is crucial for evolutionary adaptation.
Purpose of the Study:
- To investigate the evolution of phenotypic plasticity under combined temporal and spatial environmental variation.
- To determine how genetic adaptation and plasticity interact when environments fluctuate in both time and space.
Main Methods:
- Theoretical modeling of evolutionary dynamics.
- Analysis of genetic adaptation to Markovian temporal fluctuations.
- Comparison with genetic adaptation to spatial fluctuations.
Main Results:
- Genetic adaptation to temporal fluctuations correlates with between-generation environmental autocorrelation, analogous to spatial adaptation and philopatry.
- Plasticity evolves to address fluctuations in the dimension with weaker genetic adaptation capacity.
- Discrepancies between temporal and spatial environment-trait relationships can lead to maladaptive plasticity (hyper- or hypo-plasticity).
- Spatial genetic differentiation can counteract maladaptive plasticity, leading to counter-gradient variation.
Conclusions:
- Space-for-time substitutions in empirical studies are challenging due to differing temporal and spatial environmental dynamics.
- Key parameters include parent-offspring environmental correlations and the relationship between developmental and selection environments.
- Measuring these parameters is essential for validating space-for-time substitution assumptions in ecological research.
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